SHERPA A. Clappier 1 SHERPA SHERPA means, S creening for H igh E - - PowerPoint PPT Presentation

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SHERPA A. Clappier 1 SHERPA SHERPA means, S creening for H igh E - - PowerPoint PPT Presentation

Introduction to SHERPA A. Clappier 1 SHERPA SHERPA means, S creening for H igh E mission R eduction P otentials on A ir quality. SHERPA aims to screen the space of all possible emission abatement scenarios. 2 Air Quality Model Air Quality


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SLIDE 1

Introduction to SHERPA

  • A. Clappier

1

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SLIDE 2

SHERPA

2

SHERPA means, Screening for High Emission Reduction

Potentials on Air quality.

SHERPA aims to screen the space of all possible emission

abatement scenarios.

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SLIDE 3

Air Quality Model

Emissions

Boundary conditions Meteorological conditions: Wind, Temperature, Solar radiation

Concentrations

3

CPU time: days to simulate 1 year Air Quality Models can screen all possible abatement scenarios,

BUT:

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SLIDE 4

SHERPA Features

Emissions

Full Air Quality simulations

Concentrations

4

CPU time: minutes to simulate 1 year

Source/Receptor relationship

Algebraic relation between the emission changes of every cell and the concentration changes of every cell

 

1 2 n

, ,

i i

C f E E E      SPEED:

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SLIDE 5

SHERPA Features

5

EASY SET UP

Training simulations (10) Application

C wide Europe   E C region Country /   E

Source/Receptor relationship

 

1 2 n

, ,

i i

C f E E E      SPATIAL FLEXIBILITY

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SLIDE 6

SHERPA Features

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Shapes AQ Modelling 10-15 Emission Inventory

Sectors Precursors Gridded emissions

S/R Relationships

ADAPTABILITY

Input SHERPA

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SLIDE 7

SHERPA Options

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Scenario Assessment

Selection of:

  • a region
  • an Air Quality Index
  • activity sectors or precursors

Concentration changes (i. e. Delta values)

HOW MUCH impacts?

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SLIDE 8

SHERPA Options

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Source Apportionment

Selection of:

  • a region
  • an Air Quality Index
  • activity sectors or precursors

Average source apportionment for the selected region Average source apportionment for a selected point

WHAT can I influence? WHICH sectors/pollutants?

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SLIDE 9

SHERPA Options

9

Governance control area

Selection of:

  • a NUTS level
  • a point
  • an Air Quality Index
  • activity sectors or precursors

Contribution per regions (the selected NUTS level)

WITH WHOM should I coordinate actions?

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SLIDE 10

MS1: Energy production MS2: Residential MS3 and 4: Industrial production MS5: Energy extraction and transport MS6: Solvent MS7: Road transport MS8: Other mobile sources MS9: Waste MS10: Agriculture

Example: London

10

Source Apportionment

7x7 km2 cell over London (51.53° ; -0.073°), concentration: 18 mg.m-3.

16.2% 12.9% 4.22% 3.98% 2.59% 25.3% 2.34% 6.59% 25.8%

  • 1. all European countries

Reduction of:

  • 2. London region

64.4% 6.68% 2.53% 1.84% 1.21% 18.5% 1.29% 3.27% 0.25%

London region:

35.6%

Europe outside London region: 48.2% Outside Europe + natural + shipping: 16.2%

83.8% 35.6%

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SLIDE 11

Example: London

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Governance control area

18.5% MS 7: Road transport 2.9% 2.4% all Europe 25.3% 0.25% MS 10: Agriculture 3.2% all Europe 25.8% 3.1% 1.6% 1% 1% 1%

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SLIDE 12

Example: Bruxelles

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Source Apportionment Governance control area

MS 7: Road transport 20.7% 1.2% MS 10: Agriculture 12.8% 3.8% 2.3% 4%

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SLIDE 13

SHERPA’s Assumptions

13

  • Annual or seasonal average concentration
  • Linear relationship between emissions and concentrations
  • Isotropic relationship between emissions and concentrations

i

i

 

 

  

   

p p i

n p n j p j ij p i i

E d C

1 1 , ,

,

1

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SLIDE 14

SHERPA’s Assumptions

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Reduction over countries

France Poland

Percentage bias Percentage bias

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SLIDE 15

SHERPA’s Assumptions

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Reduction over small regions

Percentage bias Percentage bias

ACCURACY: 90%

i.e. 10% bias

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SLIDE 16

Overview

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Shapes AQ Modelling

10-15 scenarios

Emission Inventory S/R Relationships

SHERPA

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SLIDE 17

Adaptability

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Shapes AQ Modelling

10-15 scenarios

Emission Inventory S/R Relationships

SHERPA

Other domain emissions AQ model

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SLIDE 18

Quality Assessment

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Shapes AQ Modelling

10-15 scenarios

Emission Inventory S/R Relationships

SHERPA

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SLIDE 19

Quality Assessment

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Shapes AQ Modelling

10-15 scenarios

Emission Inventory S/R Relationships

SHERPA

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SLIDE 20

Quality Assessment

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Shapes Emission Inventory S/R Relationships

SHERPA

AQ Modelling

Measurements

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SLIDE 21

Quality Assessment

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Shapes Emission Inventory S/R Relationships

SHERPA

AQ Modelling

Measurements

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SLIDE 22

Next

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14:00-14:30

Discussion (questions, remarks, comments)

SHERPA, a useful tool for AQ planning in European regions? SHERPA, a useful tool for FAIRMODE WG? 14:30-16:00

Exercise (Example SHERPA Practice)

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SLIDE 23

Hvala

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